BayesianQDA

BayesianQDA

A model type for constructing a Bayesian quadratic discriminant analysis, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

BayesianQDA = @load BayesianQDA pkg=MLJScikitLearnInterface

Do model = BayesianQDA() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in BayesianQDA(priors=...).

Hyper-parameters

• priors = nothing
• reg_param = 0.0
• store_covariance = false
• tol = 0.0001